Synthetic Aperture Radar (SAR) imagery is widely used for measuring Earth’s surface displacements over large areas. Persistent Scatterer Interferometry (PSI) [1] is a powerful A-DInSAR (Advanced Differential Synthetic Aperture Radar Interferometry) multitemporal technique that detects displacement measurements with sub-centimetric precision and monitors the temporal evolution of the processes. PSI data offer high spatial coverage and temporal repeatability, improving the understanding and evaluation of deformation processes for mitigating natural-related hazards. The capability to measure ground and structural deformation relies on the spatial pattern of the phenomenon and the available PSI density [2] , [3] . The spatial density provided by the PSI technique is related to the resolution of the considered sensor [4] and other site-specific characteristics (presence of vegetation or water bodies, foreshortening effects due to slopes, etc..). The wide availability of SAR satellite missions allows the development of a new data fusion approach for integrating multi-band SAR sensors (X, C, and L) to improve data coverage and information content. PSI data fusion combines multi-band products to exploit detailed and complementary information about the monitored surface.